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    boogu_Anything2RealCharacters - v1.0
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    boogu_Anything2RealCharacters

    📌 About the Model

    boogu_Anything2RealCharacters is a high-fidelity image generation model fine-tuned on top of Boogu-Image-Edit 0.1, fully integrating the Edit-Turbo architecture. The core capability of this model is to perform premium-quality transformations from anime and illustration styles to hyper-realistic styles, seamlessly adapting to characters, animals, landscapes, and complex scenes.

    Equipped with advanced prompt-driven capabilities, the model also supports:

    • 🧍 Body & Expression Control: Modify character body shapes and alter facial expressions dynamically via text.

    • 🎬 Texture Enhancement: Drastically elevate the tactile texture, realism, and detail density of the output.

    • 🧥 Clothing & Perspective Tools: Features support for clothing texture enhancement, removal commands, and one-click four-view character sheet generation.

    ⚠️ Important Note: "Simple prompts" and "detailed prompts" will yield completely different stylistic outcomes. Please experiment with prompt complexity to achieve your desired look.

    ⚡ Online Demo & Cloud Inference

    You can test this LoRA directly in your browser before downloading for local deployment.

    👉 Click Here to Try on RunningHub

    🎁 Exclusive Fan Benefits:

    • Instant Bonus: Register via the link above to receive 1,000 points.

    • Daily Rewards: Get 100 points for every daily login.

    • High-End Hardware: Experience the raw power of NVIDIA 4090 (48G VRAM) for lightning-fast inference!

    💡 Advanced Prompt Guide

    To unlock and precisely steer the model's advanced editing capabilities, incorporate the following tokens into your prompts:

    • Core Stylization Prompt (Required): transform the image to realistic photograph

    • Enhance Stockings Texture: Use black stockings or white stockings

    • Expression Modification (Cross-eyed/Funny): Use 将角色表情替换为斗鸡眼 (or corresponding translation) to morph facial expressions.

    • Enhance Body Line & Definition: Use muscular

    • Four-View Character Sheet Generation: (Highly recommended to set aspect ratio to 16:9), use the prompt structure:

      4-view split screen, realistic photograph, 1.close-up face, 2.front view full body, 3.side view full body, 4.back view full body

    To achieve optimal generations and enjoy the Turbo-speed inference, please strictly follow the configuration below:

    ParameterRecommended ValueSampling Steps8CFG Scale1.0SamplereulerSchedulersgm_uniformText Encoder (CLIP)qwen3vl_8b (Required pairing)VAEFLUX.1-vae (Consistent with Boogu-Image-Edit 0.1)

    💻 Performance & Hardware Suggestions

    Deeply optimized for ultra-high-resolution rendering on consumer-grade hardware:

    • Hardware Setup: Tested on 16GB VRAM environment.

    • Inference Speed: Generates a massive 2048-resolution image in under 1 minute.

    📦 ComfyUI Workflows

    We have provided ready-to-use ComfyUI workflows directly inside this repository:

    1. Basic Workflow: For standard text-to-image and style morphing.

    2. Interrogator/Tagging Workflow: Includes an automated prompt-inversion/tagging setup for precise asset control.

    🤝 Acknowledgments

    This project would not have been possible without the pillars of the open-source community. We express our deepest gratitude to Boogu, Z-image, Qwen-image, and the broader open-source AI community for providing the incredible foundational assets and research.

    Our heartfelt thanks also go out to our community members/group members for their incredible support and constant push for iterations on the firered, qwen image Edit 2511, 2509, and klein series of Anime-to-Realistic-Real-Character models. Your feedback has been the driving force behind this rapid evolution!

    🤝 Community & Business

    Feel free to connect for tutorials, community discussions, or commercial inquiries:

    Description

    Comments (3)

    jnmkcdsfzxJul 22, 2026
    CivitAI

    I'm facing an issue where it generates 2 split images of the same character, based on the same image.

    (FIX: Change the aspect ratio node, scale_to_node: to 1024.)

    nec01496Jul 23, 2026
    CivitAI

    The conversion quality of this model is excellent. It's truly a promising model with great potential for the future.

    However, there seems to be an issue with the training data, particularly regarding image aspect ratios. When I input images, they always get cropped to the top-right area, and the rest of the image is generated as if it's outpainting.

    I believe the main cause of these conversion failures is that the model tried to combine the character sheet function and the conversion function into one. Because these two features are mixed together, the output quality tends to break down.

    jnmkcdsfzxJul 23, 2026

    Hi I figured out the issue, you need to change the aspectratio node to 1024 from 2048

    (Claude said: Edit models like Boogu have positional embeddings trained at 1024.)

    UNet
    Boogu

    Details

    Downloads
    40
    Platform
    CivitAI
    Platform Status
    Available
    Created
    7/13/2026
    Updated
    7/26/2026
    Deleted
    -

    Files

    boogu_v10.json

    Mirrors

    CivitAI (1 mirrors)